A signature of structural MRI features at 3 Tesla allows an accurate characterization of orbital cavernous venous malformation
Simon Elbaze(Fondation Ophtalmologique Adolphe de Rothschild), Augustin Lecler(Université Paris Cité), Julien Savatovsky(Fondation Ophtalmologique Adolphe de Rothschild), Loïc Duron(Inserm), Sidney Krystal(Fondation Ophtalmologique Adolphe de Rothschild), Jessica Guillaume(Fondation Ophtalmologique Adolphe de Rothschild), Mathieu Zmuda(Fondation Ophtalmologique Adolphe de Rothschild), Natasha Mambour(Fondation de Rothschild)
Cited by 7
Related Papers
Revolutionizing radiology with GPT-based models: Current applications, future possibilities and limitations of ChatGPT
|Diagnostic and Interventional Imaging|2023|384
Detection, Characterization, and Inhibition of FGFR–TACC Fusions in IDH Wild-type Glioma
|Clinical Cancer Research|2015|285
How can we combat multicenter variability in MR radiomics? Validation of a correction procedure
|European Radiology|2020|212